Context, computation, and optimal ROC performance in hierarchical models

DOI10.1007/S11263-010-0391-1zbMath1235.68251OpenAlexW2020343399MaRDI QIDQ408915

Stuart Geman, Lo-Bin Chang, Ya Jin, Wei Zhang, Eran Borenstein

Publication date: 12 April 2012

Published in: International Journal of Computer Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11263-010-0391-1

zbMATH Keywords

compositionhierarchycontextbottom-up processingcoarse-to-fine searchpartsROC performancetop-down processing

Mathematics Subject Classification ID

Machine vision and scene understanding (68T45)

Related Items (1)

Generating open world descriptions of video using common sense knowledge in a pattern theory framework

Cites Work

• A numerical study of the bottom-up and top-down inference processes in and-or graphs
• Coarse-to-fine face detection
• Hierarchical testing designs for pattern recognition
• A Stochastic Grammar of Images
• On Deviations of the Sample Mean
• Unnamed Item

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